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Today Fireship covered this: - Indie hackers may be the first type of developer to go extinct - The classic indie hacking playbook (last decade): learn to code → find a niche → ship a micro-SaaS → build in public → post MRR screenshots after failures → repeat until...

206,768 views • 13 hours ago •via X (Twitter)

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the biggest advantage in business used to be money. then it became distribution. now it's speed. a year ago, building an app (even with ai) was a headache. you needed developers. designers. weeks of work. and a budget that most indie devs don't have. which means you had to spend more time - learning, trying, fixing. today, i can have an app live in minutes with superapp ai. then create ads for it with arcads a few minutes later. not mockups. not concepts. actual assets ready to ship. that's a pretty crazy change when you stop and think about it. for the first time, building software is starting to feel easy. the hard part isn't creating the product anymore. it's getting people to care. which means the game is changing. the winners won't be the people who can build. soon almost everyone will be able to build. the winners will be the people with the best ideas and the best distribution. the people who can test faster. learn faster. and ship faster. when one founder is running 50 experiments while another is still planning the first one, you know who will fail faster and get up and this is the worst these tools will ever be. next year's models will be smarter. faster. cheaper. building apps will get easier. creating ads will get easier. distribution will get easier. things that feel crazy today will feel normal. and things that feel impossible today will probably become a button. i don't think most people have fully processed how big this shift is. we're moving into a world where turning an idea into a product is becoming a cakewalk. from there, everything comes down to execution. and speed compounds.

Kritarth Mittal | Soshals

40,735 views • 1 month ago

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

geoff

59,816 views • 1 month ago

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

Andrew Ng

1,224,620 views • 2 years ago